PPT-Email Spam Detection using machine Learning
Author : stefany-barnette | Published Date : 2016-06-30
Lydia Song Lauren Steimle Xiaoxiao Xu Outline Introduction to Project Preprocessing Dimensionality Reduction Brief discussion of different algorithms Knearest
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Email Spam Detection using machine Learning: Transcript
Lydia Song Lauren Steimle Xiaoxiao Xu Outline Introduction to Project Preprocessing Dimensionality Reduction Brief discussion of different algorithms Knearest D ecision tree Logistic regression. Kallol Dey. Rahul. . Mitra. Shubham. . Gautam. What is Spam ?. According to . wikipedia. … . Email spam, also known as junk email or unsolicited bulk email (UBE),is a subset of electronic spam involving nearly identical messages sent to numerous recipients by email. Clicking on links in spam email may send users to phishing web sites or sites that are hosting malware. . CJ341 – Cyberlaw & Cybercrime. Lecture . #8. M. E. Kabay, PhD, CISSP-ISSMP. D. J. Blythe, JD. School of Business & Management. Topics. Cyberstalking. Jane Hitchcock. Choosing Victims. Targeting Victims. Subvert Your Spam Filter. Blaine Nelson / Marco . Barreno. / . fuching. . Jack Chi / Anthony D. Joseph. Benjamin I. P. Rubinstein / . Udam. . Saini. / Charles Sutton / J.D. . Tygar. / Kai Xia. University of California, Berkeley. Distortion of search results . by “spam farms” and “hijacked” links. (aka. search engine optimization). page to be. “. promoted. ”. . boosting. pages. (spam farm). Susceptibility to manipulation and lack of trust model . Fernando. Sanchez, . Zhenhai Duan. Florida State University. Yingfei. Dong. University of Hawaii. Problem Statement. Email header forgery. But to what degree and how well they do it?. Why this is important?. Author : Kirill . Levchenko. , Andreas . Pitsillidis. , . Neha. . Chachra. , Brandon Enright, . M’ark. . F’elegyh’azi. , Chris Grier, Tristan Halvorson, Chris . Kanich. , Christian . Kreibich. threat to Internet users. A collaborative approach. is needed to provide the best spam-mitigation solutions. and security protection. . The Challenge of Spam. Different stakeholders are taking different steps. Myle. . Ott. , . Yejin. . Choi,. . Claire. . Cardie. ,. . Jeffrey. . T.. . Hancock. Cornell. . University. Yu. . Huang. 1. What Does It Mean?. “Finding . Deceptive Opinion Spam. . by Any . Ethan Grefe. December . 13, . 2013. Motivation. Spam email . is constantly cluttering inboxes. Commonly removed using rule based filters. Spam often has . very similar characteristics . This allows . Vacha Dave . +. , Saikat Guha. ★. and Yin Zhang *. . + . University of California, San Diego. . ★ . Microsoft Research . India. . * The University of Texas at Austin. . Internet Advertising Today. Spam:. Spam is unsolicited or undesired electronic junk mail. Characteristics of spam are:. Mass . mailing to large number of recipients. Usually a commercial advertisement. Annoying but usually harmless unless coupled with a fraud based phishing scam . Spam:. Spam is unsolicited or undesired electronic junk mail. Characteristics of spam are:. Mass . mailing to large number of recipients. Usually a commercial advertisement. Annoying but usually harmless unless coupled with a fraud based phishing scam . Objectives. Create an online email account. Create a secure password. Write, open, reply, send, and forward email . messages. Add . contacts to . a contact list. Send and open attachments. Email. Snail Mail. Spam is unsolicited . e. mail in the form of:. Commercial advertising. Phishing. Virus-generated . Spam. Scams. E.g. Nigerian Prince who has an inheritance he wishes to share. What is Bulk Email?. Bulk .
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